Evidence map›Paper›PMID 28578378›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Genome-Wide Profiling of miRNA and mRNA Expression in Alzheimer's Disease.

Wan-Sheng Chang, Yong-Hong Wang, Xiao-Tun Zhu, Chuan-Jie Wu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Article
  7. Article
  8. Functions of Astrocytes under Normal Conditions and after a Brain Disease.International journal of molecular sciences · 2023
    Review
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  18. Noncoding RNA crosstalk in brain health and diseases.Neurochemistry international · 2021
    Review
  19. Article
  20. Aging · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Wan-Sheng ChangDepartment of Neurology, The Second People's Hospital of Liaocheng, Liaocheng Shandong, China (mainland).
Yong-Hong WangDepartment of Neurology, The Second People's Hospital of Liaocheng, Liaocheng Shandong, China (mainland).
Xiao-Tun ZhuDepartment of Neurology, The Second People's Hospital of Liaocheng, Liaocheng Shandong, China (mainland).
Chuan-Jie WuDepartment of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China (mainland).
Fourth People's Hospital of Liaocheng · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Our study aimed to identify key differentially expressed genes (DEGs) and miRNAs (DEmiRNAs) which can serve as potential biomarkers for diagnosis and therapy of Alzheimer's disease (AD). MATERIAL AND METHODS We performed miRNA and mRNA integrated analysis (MMIA) to identify DEGs and DEmiRNAs of AD. The AD-specific DEmiRNAs-targets interaction network was contrasted. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis were performed. Q-RT-PCR was used to verify the expression of selected DEGs and DEmiRNAs. RESULTS We conducted MMIA of AD based on 1 miRNA dataset and 3 mRNA datasets derived from the Gene Expression Omnibus (GEO) database; 1759 DEGs and 12 DEmiRNAs were obtained. DEGs of AD were significantly enriched in Huntington's disease and AD. LRP1, CDK5R1, PLCb2, NDUFA4, and DLG4 were 5 DEGs regulated by 4 DEmiRNAs, including miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. These 4 miRNAs were the top 4 miRNAs covering most DEGs. According to the qRT-PCR results, the expression of PLCβ2, NDUFA4, DLG4, miR-107, and miR-103a-3p was consistent with our integrated analysis. CONCLUSIONS We concluded that LRP1, CDK5R1, PLCβ2, NDUFA4, and DLG4 may play a role in AD regulated by miR-26b-5p, miR-26a-5p, miR-107, and miR-103a-3p. Our findings will contribute to identification of biomarkers and new strategies for drug design for AD treatment.

Indexed as

Gene Expression ProfilingGene Expression RegulationGenome, HumanAlzheimer DiseaseDown-RegulationGene Regulatory NetworksHumansHuntington DiseaseMicroRNAsMolecular Sequence AnnotationReproducibility of ResultsRNA, MessengerUp-RegulationMicroRNAsRNA, Messenger

Identifiers

PMID28578378
PMCPMC5467707
OpenAlexW2620659077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.